Anti-Phishing Detector
Detects and warns about phishing websites.
As of May 2026, Anti-Phishing Detector has 44 users and a 4.67/5 rating from 6 reviews in the Productivity category.
Usersdown 18.5 percent−18.5%
44
44
Ratingno change0%
4.67
6 reviews
Reviewsno change0%
6
Version
1.0
Manifest V3
History
1 snapshotsTracking since Apr 30, 2026.
View as table
| Date | Users | Rating | Reviews | Version |
|---|---|---|---|---|
| Apr 30, 2026 | 54 | 4.67 | 6 | 1.0 |
| Now | 44 | 4.67 | 6 | 1.0 |
Permissions & access
- Permissions
- tabsnotifications
- Host access
- <all_urls>
Screenshots
About
An Anti-Phishing Detector is a security solution designed to identify and mitigate phishing attacks by detecting malicious websites, fraudulent emails, or fake links that attempt to steal sensitive information like usernames, passwords, or financial details. Key Features of an Anti-Phishing Detector URL Analysis: Scans URLs to detect malicious domains, typosquatting, or look-alike websites. Compares against a database of known phishing sites. Content Inspection: Analyzes the website's HTML, JavaScript, and other resources to identify suspicious behavior. Detects fake login forms or forms designed to capture user credentials. Machine Learning and AI: Employs AI algorithms to detect phishing patterns by analyzing large datasets of known attacks. Continuously improves detection accuracy using machine learning models. Real-time Protection: Provides instant alerts when a phishing attempt is detected. Blocks access to malicious sites to prevent data theft. Browser Extensions and Plugins: Many detectors are available as browser extensions that analyze URLs in real-time. Offers warnings when visiting suspicious websites. Email Filtering: Scans email content and attachments for phishing indicators. Blocks or quarantines malicious emails before reaching the inbox. How It Works URL Validation: Checks the URL against databases of phishing sites. Heuristic Analysis: Identifies patterns typical of phishing attempts, like misspelled URLs or fake login pages. Machine Learning Models: Classifies websites or emails using predictive models trained on past phishing data. User Alerts: Warns users with a visual alert or blocks access to the malicious site.
Technical
- Version
- 1.0
- Manifest
- V3
- Size
- 34.54KiB
- Min Chrome
- 88
- Languages
- 1
- Featured
- No
Metadata
- ID
- nkfmgfmcfhcifbhllgaaefbacgpibbkf
- Developer ID
- u1bb9d4ab50eae9fe8d860fc0f56114a7
- Developer Email
- [email protected]
- Created
- Mar 27, 2025
- Last Updated (Store)
- Mar 27, 2025
- Last Scraped
- May 27, 2026
- Website
- —
- Support URL
- —
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Data sourced from the Chrome Web Store · last verified May 27, 2026.